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08/16/2023
InsightMapper: A Closer Look at Inner-instance Information for Vectorized High-Definition Mapping
Vectorized high-definition (HD) maps contain detailed information about ...
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04/21/2023
FSNet: Redesign Self-Supervised MonoDepth for Full-Scale Depth Prediction for Autonomous Driving
Predicting accurate depth with monocular images is important for low-cos...
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09/21/2022
RNGDet++: Road Network Graph Detection by Transformer with Instance Segmentation and Multi-scale Features Enhancement
The graph structure of road networks is critical for downstream tasks of...
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09/16/2022
V2HDM-Mono: A Framework of Building a Marking-Level HD Map with One or More Monocular Cameras
Marking-level high-definition maps (HD maps) are of great significance f...
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09/16/2022
CenterLineDet: Road Lane CenterLine Graph Detection With Vehicle-Mounted Sensors by Transformer for High-definition Map Creation
With the rapid development of autonomous vehicles, there witnesses a boo...
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02/16/2022
RNGDet: Road Network Graph Detection by Transformer in Aerial Images
Road network graphs provide critical information for autonomous vehicle ...
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11/11/2021
csBoundary: City-scale Road-boundary Detection in Aerial Images for High-definition Maps
High-Definition (HD) maps can provide precise geometric and semantic inf...
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07/26/2021
CP-loss: Connectivity-preserving Loss for Road Curb Detection in Autonomous Driving with Aerial Images
Road curb detection is important for autonomous driving. It can be used ...
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03/31/2021
Topo-boundary: A Benchmark Dataset on Topological Road-boundary Detection Using Aerial Images for Autonomous Driving
Road-boundary detection is important for autonomous driving. For example...
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03/31/2021
iCurb: Imitation Learning-based Detection of Road Curbs using Aerial Images for Autonomous Driving
Detection of road curbs is an essential capability for autonomous drivin...
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07/30/2020
Visual Analysis of Discrimination in Machine Learning
The growing use of automated decision-making in critical applications, s...
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04/16/2020
